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Please help me with my Assignment! Find the general solution of (d4y / dx4) + 4(d3y / dx3) + 8(d2y / dx2) + 8(dy/dx) + 4y = 0 Solution The characteristic equation of the DE is: r4 + 4r3 + 8r2 + 8r + 4 = 0 (r2 + 2r + 2)2 = 0 So the roots are: -1-i , -1-i , -1+i , -1+i Therefore the general solution is: y = Ae-xcos(x) + Be-xsin(x) + C.xe-xcos(x) + D.xe-xsin(x) Where A, B, C, and D are constants..

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Please help me aswer this...I will rate you life saving!!! Solution Oral cavity Pharynx Esophagus Stomach Duodenum Jejunum Ileum Cecum Ascending Colon Transverse Colon DescendingColon Sigmoid Colon Rectum Anus Feces Human waste Duodenum to the Ileum that isfrom the small intestine Cecum to Rectum is from thelarge intestine Duodenum to the Ileum that isfrom the small intestine Cecum to Rectum is from thelarge intestine.

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please help and be as detail as you can 1. Variation is a key statistic used in the most analytical studies. what are the implications of the high level of variations vs. low level of variation in a sample data 2. what are the implications Solution 1. In statistics, analysis of variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of variation. In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups are all equal, and therefore generalizes t-test to more than two groups. Doing multiple two-sample t-tests would result in an increased chance of committing a type I error. For this reason, ANOVAs are useful in comparing two, three, or more means. 2. the act of implicating or the state of being implicated.

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Please help Lot, Xn and Yn have the distributions shown above. Find the expected value and variance of Xn and Yn. What does the Chebyshev inequality\'- tell us about the convergence of Xn and Yn? Is Yn convergent in probability? If so, to what value? Solution 1. E(X) = 0*1/n + 1*1/n = 1/n ; V(X) = E(X^2) - (E(X))^2 = (0*1/n + 1*1/n) - (1/n)^2 = 1/n - 1/n^2 = (n-1)/(n^2) E(Y) = 0*1/n + n*1/n = 1 ; V(Y) = E(Y^2) - (E(Y))^2 = (0*1/n + n^2/n) - (1) = n-1 2.Pr(|X-1/n|>k*sqrt(V(X))) <= 1/(k^2) for k>=1 Pr(|Y-1|>k*sqrt(V(Y))) <= 1/(k^2) for k>=1 3. No its not convergent as Sum of P(X) not converging to 1.

Please help Lot, Xn and Yn have the distributions shown above. Fi.pdf

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Please help me with my Assignment! Find the general solution of(.pdf